Key result
The f99 index averaged over the 6 precordial leads was significantly higher in acute myocardial infarction patients compared to healthy controls (24 Hz vs 14 Hz) and discriminated the two groups with 81% sensitivity and 74% specificity.
Why the study?
Does the f99 index derived from 12-lead ECG accurately discriminate acute myocardial infarction patients from healthy subjects?
Cross-Sectional (n=155)
Does the f99 index derived from 12-lead ECG accurately discriminate acute myocardial infarction patients from healthy subjects?
Answers are grounded in this paper and cite their sources.
The novel f99 index, a frequency-based characterization of ECG repolarization, shows promise as a non-invasive tool for discriminating AMI patients from healthy subjects.
Despite ST elevation having poor sensitivity for acute myocardial infarction (AMI), it remains the main electrocardiographic (ECG) repolarization index for AMI diagnosis. Aim of the present study was to propose a new f99 index, defined as the frequency at which the repolarization normalized cumulative energy reaches 99%, for ECG AMI discrimination from health with good sensitivity and good specificity. Evaluation of such f99 index was performed on 12-standard-lead (I, II, III, aV1, aVr, aVf, V1 to V6) ECG recordings of 47 healthy controls and 108 acute myocardial infarction (AMI) patients. Repolarization dispersion caused f99 distributions to be significantly lead dependent. In most leads (leads I, II, aVl, aVr, V2-V6), f99 median value was lower in the healthy controls (10-17 Hz) than in the AMI patients (12-38 Hz) indicating higher frequency components (i.e. a more fragmented repolarization) in the latter population. AMI patients from healthy controls discrimination by f99, evaluated in terms of sensitivity (Se) and specificity (Sp), was also lead dependent. Single-lead analysis indicated leads I (Se=80%, Sp=77%) and aVl (Se=84%, Sp=74%) as optimal. Instead, lead-system analysis, performed to overcome dispersion issues, provided the best results when averaging over the 6 precordial leads (Se= 81% and Sp=74%). In conclusion, our new f99 index appears as a promising tool for non-invasively and reliably discriminate AMI patients from healthy subjects.
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Giuliani et al. (2014) conducted a cross-sectional in Acute Myocardial Infarction (n=155). f99 index vs. Healthy controls was evaluated on Median f99 value averaged over 6 precordial leads (Hz) (p=<10-8). The f99 index averaged over the 6 precordial leads was significantly higher in acute myocardial infarction patients compared to healthy controls (24 Hz vs 14 Hz) and discriminated the two groups with 81% sensitivity and 74% specificity.
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